Bayesian and non-bayesian methods for joint decoding and detection in the presence of phase noise

Colavolpe,G; Barbieri, A; Caire, Giuseppe; Bonneau, Nicolas
ISIT 2004 IEEE International Symposium on Information Theory, June 27-July 2, 2004, Chicago, USA

This paper proposes new algorithms for joint iterative decoding and parameter estimation in Bayesian and nonBayesian method. The low-density parity-check (LDPC) codes in the presence of phase noise is focused in this paper. The nonBayesian algorithm for an unknown phase channel is based on the application of the expectation-maximization (EM) algorithm. The proposed Bayesian algorithms are obtained as an application of the sum-product algorithm to the factor graph. Comparing the performance of the considered algorithms in the case of LDPC code, the EM-KL (EM-Karhunen-Loeve) algorithm performs better than EM-SW (sliding window) algorithm.


DOI
Type:
Conférence
City:
Chicago
Date:
2004-06-27
Department:
Systèmes de Communication
Eurecom Ref:
1599
Copyright:
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PERMALINK : https://www.eurecom.fr/publication/1599